Common Cause Variation in statistical measurement is the usual quantifiable and historical variations in a system that is caused by unknown factors resulting in a steady but random distribution of output around the average of the data. The Common Cause Variation is a measure of the process’s potential, or how well the process can perform when special cause variation is removed. The Common Cause Variation is also called random variation, noise, or natural pattern. (Refer to the Special Cause Variation)